Background: Coronavirus Disease 2019 (COVID-19), a severe respiratory syndrome is a pandemic, known to affect patients of all age groups with varied imaging features. Aim and Objective: To identify and categorize the additional Atypical imaging features detected in COVID 19 patients from eastern India. Method: HRCT images of 1300 COVID-19 patients without any known co-morbid conditions and showing positive HRCT findings were analyzed and evaluated for prevalence of atypical imaging features. HRCT images were categorized into typical, atypical and indeterminate. Further the additional atypical features were evaluated. Results: Out of 1300 patients, 320 (24.6%) patients showed atypical imaging features, 860 patients (64.6%) were in the Typical and 140 (10.7%) were in the indeterminate category. Amongst patients with atypical imaging features, we found that isolated lobar or segmental consolidation without associated GGO__ampersandsignrsquo;s prevalent in 5.6% of patients, discrete pulmonary nodules which include both centrilobular and tree-in-bud nodular patterns in 42%, mediastinal/hilar lymphadenopathy in 9.3%. About 11% of patients had pleural effusion and 1.2% demonstrated pneumothorax and pneumomediastinum. Linear or subsegmental atelectasis was noted in 66% of patients. Conclusion: Significantly higher additional atypical features like atelectatic bands __ampersandsignamp; subpleural curvilinear atelectasis (66%), followed by discrete nodules (42%) were associated with COVID 19 diagnosis in the absence of any known co-morbid conditions. We propose that imaging findings that have not been categorized under any of the existing four groups, be incorporated in either a mixed category or added to any of the existing groups, in the current imaging-based classification for COVID 19.